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Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
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Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
John Etchemendy, Provost Emeritus, and Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence
Fei-Fei Li, Sequoia Professor, Computer Science Department; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence
Russ Altman, Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science, and, by courtesy, of Computer Science, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
James Landay, Anand Rajaraman and Venky Harinarayan Professor, School of Engineering, Professor of Computer Science, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
Immersive Technologies for Caregiving: Innovation Opportunities and Ecosystem Challenges
Deborah Estrin, Associate Dean and Robert V. Tishman Professor of Computer Science, Cornell Tech
Student Lightning Talks
Kevin Wu, PhD Student, Computer Science Department, Stanford University
Maya Varma, PhD Student in the Department of Computer Science, Stanford University
Kevin Thomas, MD/PhD Student in the Neuromuscular Biomechanics Lab, Stanford University
Adam Lavertu, PhD Student in the Biomedical Informatics Training Program, Stanford University
Panel Presentations
On Complementing and Extending Human Intellect: Principles and Directions
Eric Horvitz, Technical Fellow and Chief Scientific Officer, Microsoft
Mobilizing AI to Achieve Healthy Child Development Worldwide
Dennis Wall, Associate Professor of Pediatrics, Psychiatry and Biomedical Data Sciences, Stanford University
Safer and Proactive Care through AI
Suchi Saria, John C. Malone Associate Professor of Computer Science and of Statistics and Health Policy, Johns Hopkins University
Session Discussion
Break
Other Intelligence: Exoticism and AI
Ken Goldberg, Professor, Industrial Engineering and Operations Research and William S. Floyd Jr. Distinguished Chair in Engineering, University of California, Berkeley
Student Lightning Talks
Jack Atherton, PhD Student, Center for Computer Research in Music and Acoustics, Stanford University
Camille Noufi, PhD Student in the Center for Computer Research in Music and Acoustics, Stanford University
Miguel Novelo, PhD Student, Department of Art & Art History, Stanford University
Panos Achlioptas, PhD Student, Computer Science Department, Stanford University
Panel Presentations
Artful Intelligence
Michele Elam, William Robertson Coe Professor of Humanities, Department of English, Center for Comparative Studies in Race & Ethnicity, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
The Digital Griot: A Reimagining of the Archive
Rashaad Newsome, Visiting Artist, Stanford Institute for Human-Centered Artificial Intelligence
Amplifying the Human Artist Through AI
Hilary Hahn, 3x Grammy Winning Violin Soloist; VP of Artistic Partnerships & Co-Founder, DeepMusic.ai
Carol Reiley, CEO & Co-Founder, DeepMusic.ai
Session Discussion
Break
Escaping or Automating a Legacy of Bad Instruction
Daniel Schwartz, Dean and the Nomellini-Olivier Professor of Educational Technology, Stanford University Graduate School of Education
Student Lightning Talks
Griffin Dietz, PhD Student in the Computer Science Department, Stanford University
Eric Rawn, MS Student, Computer Science Department, Stanford University
Sherry Ruan, PhD Student in the Computer Science Department, Stanford University
Panel Presentations
AI to Super Power Teachers
Chris Piech, Assistant Professor, Computer Science and Assistant Professor, by courtesy, Graduate School of Education, Stanford University
Pushing the Boundaries of Educational Technology
Amy Ogan, Thomas and Lydia Moran Professor of Learning Science, Carnegie Mellon University
AI to Accelerate Workplace Learning at Scale
Candace Thille, Director of Learning Science, Amazon
Session Discussion
Closing Remarks